29 computational-physics-postdoc Fellowship positions at Monash University in Australia
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Research Fellow - High-temperature Process Engineering on Pyrolysis and Pyro-hydrolysis Job No.: 686734 Location: Clayton campus Employment Type: Full-time Duration: 12 month fixed-term appointment
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, neuroscience, physics or a closely related discipline, supported by demonstrated experience in computational modelling, neuroimaging or signal processing. Strong analytical and writing skills, along with
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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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9 Dec 2025 Job Information Organisation/Company Monash University Department School of Mathematics Research Field Other Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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in supporting Australia’s transition to green ironmaking by developing a quantitative framework that connects impurity content, process parameters and microstructural evolution to scalable, low
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, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments
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international peers working on the program, industry and government stakeholders, and funding bodies. Exploring, leading and coordinating opportunities for new research proposals, initiatives, or collaborations
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems